Berlin, Germany

Soenke Schmidt


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Soenke Schmidt: Innovator in Adaptive Quantization Technology

Introduction

Soenke Schmidt is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of adaptive quantization technology, particularly through his innovative patent. With a focus on enhancing data processing methods, Schmidt's work has implications for various applications in digital communication.

Latest Patents

Soenke Schmidt holds a patent titled "Decoder, encoder and method for supporting adaptive dependent quantization of transform coefficient levels." This invention involves a decoder designed to decode residual levels and sequentially dequantize these levels by selecting a quantizer from a set of default quantizers. The selection process depends on the current transition state and updates based on the characteristics of the current residual level. The method employs a binary function to analyze the residual level and utilizes quantization mode information contained in the data stream. This innovative approach allows for efficient transitions between different states, enhancing the overall performance of data decoding.

Career Highlights

Schmidt is associated with the Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung e.V., a leading research organization in Germany. His work at this institution has allowed him to collaborate with other experts in the field and contribute to cutting-edge research and development projects.

Collaborations

Some of his notable coworkers include Heiko Schwarz and Paul Haase. Their collaborative efforts have further advanced the research and applications of adaptive quantization technologies.

Conclusion

Soenke Schmidt's innovative contributions to adaptive quantization technology highlight his role as a key inventor in the field. His patent reflects a significant advancement in data processing methods, showcasing the potential for improved efficiency in digital communication systems.

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